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gpt2-moe-top2-4-qnli
lightsout19/gpt2-moe-top2-4-qnli
gpt2-moe-top2-4-qnli is a machine learning model from lightsout19. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Oct 31, 2024
- Updated
- Oct 31, 2024
- SHA
- 3c28467d
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
gpt2-moe-top2-4-qnli
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3737
- Accuracy: 0.8415
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4872 | 1.0 | 6547 | 0.4280 | 0.8047 |
| 0.4237 | 2.0 | 13094 | 0.4586 | 0.7818 |
| 0.3992 | 3.0 | 19641 | 0.3727 | 0.8387 |
| 0.3608 | 4.0 | 26188 | 0.3730 | 0.8395 |
| 0.3406 | 5.0 | 32735 | 0.3719 | 0.8431 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Oct 31, 2024
- Updated
- Oct 31, 2024